Overview

Brought to you by YData

Dataset statistics

Number of variables	23
Number of observations	3204
Missing cells	0
Missing cells (%)	0.0%
Duplicate rows	0
Duplicate rows (%)	0.0%
Total size in memory	1.4 MiB
Average record size in memory	459.6 B

Variable types

Text	2
Categorical	2
Numeric	18
DateTime	1

Alerts

`KPI_score` is highly overall correlated with `stockout_count_last_month`	High correlation
`stockout_count_last_month` is highly overall correlated with `KPI_score`	High correlation
`item_id` has unique values	Unique
`stockout_count_last_month` has 294 (9.2%) zeros	Zeros

Reproduction

Analysis started	2025-11-12 20:33:15.367210
Analysis finished	2025-11-12 20:33:29.645790
Duration	14.28 seconds
Software version	ydata-profiling vv4.17.0
Download configuration	config.json

item_id
Text

Unique

Distinct	3204
Distinct (%)	100.0%
Missing	0
Missing (%)	0.0%
Memory size	203.5 KiB

Length

Max length	8
Median length	8
Mean length	8
Min length	8

Characters and Unicode

Total characters	25632
Distinct characters	13
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	3204 ?
Unique (%)	100.0%

Sample

1st row	ITM10000
2nd row	ITM10001
3rd row	ITM10002
4th row	ITM10003
5th row	ITM10004

Value	Count	Frequency (%)
itm10000	1	< 0.1%
itm10011	1	< 0.1%
itm10023	1	< 0.1%
itm10002	1	< 0.1%
itm10003	1	< 0.1%
itm10004	1	< 0.1%
itm10005	1	< 0.1%
itm10006	1	< 0.1%
itm10007	1	< 0.1%
itm10008	1	< 0.1%
Other values (3194)	3194	99.7%

Most occurring characters

Value	Count	Frequency (%)
1	5245	20.5%
I	3204	12.5%
T	3204	12.5%
M	3204	12.5%
0	2045	8.0%
2	1945	7.6%
3	1145	4.5%
4	940	3.7%
5	940	3.7%
6	940	3.7%
Other values (3)	2820	11.0%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	25632	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
1	5245	20.5%
I	3204	12.5%
T	3204	12.5%
M	3204	12.5%
0	2045	8.0%
2	1945	7.6%
3	1145	4.5%
4	940	3.7%
5	940	3.7%
6	940	3.7%
Other values (3)	2820	11.0%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	25632	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
1	5245	20.5%
I	3204	12.5%
T	3204	12.5%
M	3204	12.5%
0	2045	8.0%
2	1945	7.6%
3	1145	4.5%
4	940	3.7%
5	940	3.7%
6	940	3.7%
Other values (3)	2820	11.0%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	25632	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
1	5245	20.5%
I	3204	12.5%
T	3204	12.5%
M	3204	12.5%
0	2045	8.0%
2	1945	7.6%
3	1145	4.5%
4	940	3.7%
5	940	3.7%
6	940	3.7%
Other values (3)	2820	11.0%

category
Categorical

Distinct	5
Distinct (%)	0.2%
Missing	0
Missing (%)	0.0%
Memory size	205.4 KiB

Pharma	660
Automotive	658
Electronics	651
Groceries	618
Apparel	617

Length

Max length	11
Median length	9
Mean length	8.6086142
Min length	6

Characters and Unicode

Total characters	27582
Distinct characters	19
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Pharma
2nd row	Automotive
3rd row	Groceries
4th row	Automotive
5th row	Automotive

Common Values

Value	Count	Frequency (%)
Pharma	660	20.6%
Automotive	658	20.5%
Electronics	651	20.3%
Groceries	618	19.3%
Apparel	617	19.3%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
pharma	660	20.6%
automotive	658	20.5%
electronics	651	20.3%
groceries	618	19.3%
apparel	617	19.3%

Most occurring characters

Value	Count	Frequency (%)
r	3164	11.5%
e	3162	11.5%
o	2585	9.4%
t	1967	7.1%
a	1937	7.0%
i	1927	7.0%
c	1920	7.0%
m	1318	4.8%
A	1275	4.6%
s	1269	4.6%
Other values (9)	7058	25.6%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	27582	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
r	3164	11.5%
e	3162	11.5%
o	2585	9.4%
t	1967	7.1%
a	1937	7.0%
i	1927	7.0%
c	1920	7.0%
m	1318	4.8%
A	1275	4.6%
s	1269	4.6%
Other values (9)	7058	25.6%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	27582	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
r	3164	11.5%
e	3162	11.5%
o	2585	9.4%
t	1967	7.1%
a	1937	7.0%
i	1927	7.0%
c	1920	7.0%
m	1318	4.8%
A	1275	4.6%
s	1269	4.6%
Other values (9)	7058	25.6%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	27582	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
r	3164	11.5%
e	3162	11.5%
o	2585	9.4%
t	1967	7.1%
a	1937	7.0%
i	1927	7.0%
c	1920	7.0%
m	1318	4.8%
A	1275	4.6%
s	1269	4.6%
Other values (9)	7058	25.6%

stock_level
Real number (ℝ)

Distinct	479
Distinct (%)	15.0%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	263.49157

Minimum	20
Maximum	499
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	25.2 KiB

Quantile statistics

Minimum	20
5-th percentile	44
Q1	144
median	264
Q3	386
95-th percentile	475
Maximum	499
Range	479
Interquartile range (IQR)	242

Descriptive statistics

Standard deviation	138.56836
Coefficient of variation (CV)	0.52589295
Kurtosis	-1.2142356
Mean	263.49157
Median Absolute Deviation (MAD)	121
Skewness	-0.030070597
Sum	844227
Variance	19201.19
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
490	15	0.5%
206	14	0.4%
78	14	0.4%
409	14	0.4%
332	14	0.4%
207	14	0.4%
302	13	0.4%
115	13	0.4%
356	13	0.4%
233	13	0.4%
Other values (469)	3067	95.7%

Value	Count	Frequency (%)
20	3	0.1%
21	5	0.2%
22	8	0.2%
23	5	0.2%
24	7	0.2%
25	9	0.3%
26	5	0.2%
27	8	0.2%
28	2	0.1%
29	5	0.2%

Value	Count	Frequency (%)
499	12	0.4%
498	8	0.2%
497	5	0.2%
496	4	0.1%
495	9	0.3%
494	5	0.2%
493	8	0.2%
492	3	0.1%
491	5	0.2%
490	15	0.5%

reorder_point
Real number (ℝ)

Distinct	90
Distinct (%)	2.8%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	54.759363

Minimum	10
Maximum	99
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	25.2 KiB

Quantile statistics

Minimum	10
5-th percentile	14
Q1	32
median	55
Q3	78
95-th percentile	95
Maximum	99
Range	89
Interquartile range (IQR)	46

Descriptive statistics

Standard deviation	26.053354
Coefficient of variation (CV)	0.47577897
Kurtosis	-1.2074164
Mean	54.759363
Median Absolute Deviation (MAD)	23
Skewness	0.00066668075
Sum	175449
Variance	678.77723
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
27	50	1.6%
91	47	1.5%
80	46	1.4%
35	46	1.4%
67	46	1.4%
58	45	1.4%
78	45	1.4%
11	44	1.4%
89	44	1.4%
34	44	1.4%
Other values (80)	2747	85.7%

Value	Count	Frequency (%)
10	33	1.0%
11	44	1.4%
12	33	1.0%
13	34	1.1%
14	25	0.8%
15	35	1.1%
16	36	1.1%
17	28	0.9%
18	41	1.3%
19	35	1.1%

Value	Count	Frequency (%)
99	40	1.2%
98	31	1.0%
97	42	1.3%
96	44	1.4%
95	32	1.0%
94	35	1.1%
93	31	1.0%
92	31	1.0%
91	47	1.5%
90	30	0.9%

reorder_frequency_days
Real number (ℝ)

Distinct	12
Distinct (%)	0.4%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	8.5078027

Minimum	3
Maximum	14
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	25.2 KiB

Quantile statistics

Minimum	3
5-th percentile	3
Q1	5
median	9
Q3	12
95-th percentile	14
Maximum	14
Range	11
Interquartile range (IQR)	7

Descriptive statistics

Standard deviation	3.4732286
Coefficient of variation (CV)	0.40824038
Kurtosis	-1.2413814
Mean	8.5078027
Median Absolute Deviation (MAD)	3
Skewness	-0.029266979
Sum	27259
Variance	12.063317
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=12)

Value	Count	Frequency (%)
12	300	9.4%
11	295	9.2%
3	291	9.1%
5	277	8.6%
6	266	8.3%
13	263	8.2%
9	261	8.1%
8	256	8.0%
14	255	8.0%
7	250	7.8%
Other values (2)	490	15.3%

Value	Count	Frequency (%)
3	291	9.1%
4	246	7.7%
5	277	8.6%
6	266	8.3%
7	250	7.8%
8	256	8.0%
9	261	8.1%
10	244	7.6%
11	295	9.2%
12	300	9.4%

Value	Count	Frequency (%)
14	255	8.0%
13	263	8.2%
12	300	9.4%
11	295	9.2%
10	244	7.6%
9	261	8.1%
8	256	8.0%
7	250	7.8%
6	266	8.3%
5	277	8.6%

lead_time_days
Real number (ℝ)

Distinct	8
Distinct (%)	0.2%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	5.5783396

Minimum	2
Maximum	9
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	25.2 KiB

Quantile statistics

Minimum	2
5-th percentile	2
Q1	4
median	6
Q3	8
95-th percentile	9
Maximum	9
Range	7
Interquartile range (IQR)	4

Descriptive statistics

Standard deviation	2.2924857
Coefficient of variation (CV)	0.41096202
Kurtosis	-1.2213783
Mean	5.5783396
Median Absolute Deviation (MAD)	2
Skewness	-0.037207287
Sum	17873
Variance	5.2554907
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=8)

Value	Count	Frequency (%)
9	439	13.7%
5	419	13.1%
6	416	13.0%
7	407	12.7%
3	390	12.2%
8	386	12.0%
2	382	11.9%
4	365	11.4%

Value	Count	Frequency (%)
2	382	11.9%
3	390	12.2%
4	365	11.4%
5	419	13.1%
6	416	13.0%
7	407	12.7%
8	386	12.0%
9	439	13.7%

Value	Count	Frequency (%)
9	439	13.7%
8	386	12.0%
7	407	12.7%
6	416	13.0%
5	419	13.1%
4	365	11.4%
3	390	12.2%
2	382	11.9%

daily_demand
Real number (ℝ)

Distinct	2375
Distinct (%)	74.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	25.435868

Minimum	1.01
Maximum	49.98
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	25.2 KiB

Quantile statistics

Minimum	1.01
5-th percentile	3.489
Q1	13.535
median	25.405
Q3	37.4125
95-th percentile	47.49
Maximum	49.98
Range	48.97
Interquartile range (IQR)	23.8775

Descriptive statistics

Standard deviation	14.038861
Coefficient of variation (CV)	0.55193167
Kurtosis	-1.1894344
Mean	25.435868
Median Absolute Deviation (MAD)	11.96
Skewness	-0.0001863122
Sum	81496.52
Variance	197.08962
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
39.72	5	0.2%
12.02	4	0.1%
41.49	4	0.1%
41.01	4	0.1%
20.67	4	0.1%
37.24	4	0.1%
32	4	0.1%
18.15	4	0.1%
34.22	4	0.1%
10.48	4	0.1%
Other values (2365)	3163	98.7%

Value	Count	Frequency (%)
1.01	1	< 0.1%
1.05	2	0.1%
1.06	1	< 0.1%
1.07	1	< 0.1%
1.11	1	< 0.1%
1.13	2	0.1%
1.15	1	< 0.1%
1.16	1	< 0.1%
1.17	1	< 0.1%
1.18	3	0.1%

Value	Count	Frequency (%)
49.98	2	0.1%
49.97	2	0.1%
49.96	1	< 0.1%
49.95	1	< 0.1%
49.92	1	< 0.1%
49.9	1	< 0.1%
49.88	1	< 0.1%
49.86	2	0.1%
49.85	2	0.1%
49.8	1	< 0.1%

demand_std_dev
Real number (ℝ)

Distinct	910
Distinct (%)	28.4%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	5.260078

Minimum	0.5
Maximum	10
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	25.2 KiB

Quantile statistics

Minimum	0.5
5-th percentile	0.97
Q1	2.9175
median	5.235
Q3	7.5425
95-th percentile	9.54
Maximum	10
Range	9.5
Interquartile range (IQR)	4.625

Descriptive statistics

Standard deviation	2.7256388
Coefficient of variation (CV)	0.5181746
Kurtosis	-1.1765609
Mean	5.260078
Median Absolute Deviation (MAD)	2.315
Skewness	0.02919816
Sum	16853.29
Variance	7.4291071
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
9.3	10	0.3%
6.9	10	0.3%
9.41	10	0.3%
8.97	8	0.2%
0.83	8	0.2%
3.8	8	0.2%
6.71	8	0.2%
7.96	8	0.2%
9.24	8	0.2%
6.68	8	0.2%
Other values (900)	3118	97.3%

Value	Count	Frequency (%)
0.5	2	0.1%
0.51	4	0.1%
0.52	1	< 0.1%
0.53	3	0.1%
0.56	1	< 0.1%
0.57	3	0.1%
0.58	4	0.1%
0.59	3	0.1%
0.6	1	< 0.1%
0.61	3	0.1%

Value	Count	Frequency (%)
10	2	0.1%
9.98	4	0.1%
9.97	3	0.1%
9.96	4	0.1%
9.95	4	0.1%
9.94	3	0.1%
9.93	1	< 0.1%
9.92	3	0.1%
9.91	5	0.2%
9.9	3	0.1%

item_popularity_score
Real number (ℝ)

Distinct	91
Distinct (%)	2.8%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	0.54232522

Minimum	0.1
Maximum	1
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	25.2 KiB

Quantile statistics

Minimum	0.1
5-th percentile	0.14
Q1	0.31
median	0.54
Q3	0.76
95-th percentile	0.95
Maximum	1
Range	0.9
Interquartile range (IQR)	0.45

Descriptive statistics

Standard deviation	0.25920011
Coefficient of variation (CV)	0.4779422
Kurtosis	-1.2042382
Mean	0.54232522
Median Absolute Deviation (MAD)	0.23
Skewness	0.03622376
Sum	1737.61
Variance	0.067184695
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
0.43	48	1.5%
0.4	46	1.4%
0.22	45	1.4%
0.28	45	1.4%
0.18	45	1.4%
0.34	44	1.4%
0.13	44	1.4%
0.54	44	1.4%
0.14	43	1.3%
0.83	43	1.3%
Other values (81)	2757	86.0%

Value	Count	Frequency (%)
0.1	21	0.7%
0.11	29	0.9%
0.12	26	0.8%
0.13	44	1.4%
0.14	43	1.3%
0.15	39	1.2%
0.16	38	1.2%
0.17	33	1.0%
0.18	45	1.4%
0.19	33	1.0%

Value	Count	Frequency (%)
1	17	0.5%
0.99	34	1.1%
0.98	32	1.0%
0.97	32	1.0%
0.96	38	1.2%
0.95	40	1.2%
0.94	23	0.7%
0.93	32	1.0%
0.92	34	1.1%
0.91	39	1.2%

storage_location_id
Text

Distinct	100
Distinct (%)	3.1%
Missing	0
Missing (%)	0.0%
Memory size	187.6 KiB

Length

Max length	4
Median length	3
Mean length	2.9282147
Min length	2

Characters and Unicode

Total characters	9382
Distinct characters	11
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	L82
2nd row	L15
3rd row	L4
4th row	L95
5th row	L36

Value	Count	Frequency (%)
l57	41	1.3%
l31	41	1.3%
l59	41	1.3%
l87	40	1.2%
l37	40	1.2%
l83	40	1.2%
l71	39	1.2%
l39	39	1.2%
l85	39	1.2%
l99	39	1.2%
Other values (90)	2805	87.5%

Most occurring characters

Value	Count	Frequency (%)
L	3204	34.2%
1	683	7.3%
8	683	7.3%
9	675	7.2%
7	660	7.0%
5	658	7.0%
3	643	6.9%
4	628	6.7%
6	611	6.5%
2	586	6.2%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	9382	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
L	3204	34.2%
1	683	7.3%
8	683	7.3%
9	675	7.2%
7	660	7.0%
5	658	7.0%
3	643	6.9%
4	628	6.7%
6	611	6.5%
2	586	6.2%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	9382	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
L	3204	34.2%
1	683	7.3%
8	683	7.3%
9	675	7.2%
7	660	7.0%
5	658	7.0%
3	643	6.9%
4	628	6.7%
6	611	6.5%
2	586	6.2%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	9382	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
L	3204	34.2%
1	683	7.3%
8	683	7.3%
9	675	7.2%
7	660	7.0%
5	658	7.0%
3	643	6.9%
4	628	6.7%
6	611	6.5%
2	586	6.2%

zone
Categorical

Distinct	4
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Memory size	181.6 KiB

D	833
A	812
B	784
C	775

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	3204
Distinct characters	4
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	B
2nd row	A
3rd row	B
4th row	A
5th row	D

Common Values

Value	Count	Frequency (%)
D	833	26.0%
A	812	25.3%
B	784	24.5%
C	775	24.2%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
d	833	26.0%
a	812	25.3%
b	784	24.5%
c	775	24.2%

Most occurring characters

Value	Count	Frequency (%)
D	833	26.0%
A	812	25.3%
B	784	24.5%
C	775	24.2%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	3204	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
D	833	26.0%
A	812	25.3%
B	784	24.5%
C	775	24.2%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	3204	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
D	833	26.0%
A	812	25.3%
B	784	24.5%
C	775	24.2%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	3204	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
D	833	26.0%
A	812	25.3%
B	784	24.5%
C	775	24.2%

picking_time_seconds
Real number (ℝ)

Distinct	170
Distinct (%)	5.3%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	95.606429

Minimum	10
Maximum	179
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	25.2 KiB

Quantile statistics

Minimum	10
5-th percentile	19
Q1	53
median	96
Q3	138
95-th percentile	172
Maximum	179
Range	169
Interquartile range (IQR)	85

Descriptive statistics

Standard deviation	49.218084
Coefficient of variation (CV)	0.5147989
Kurtosis	-1.20733
Mean	95.606429
Median Absolute Deviation (MAD)	43
Skewness	-0.025226907
Sum	306323
Variance	2422.4198
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
115	34	1.1%
152	31	1.0%
177	30	0.9%
46	30	0.9%
53	30	0.9%
22	28	0.9%
96	28	0.9%
128	27	0.8%
172	27	0.8%
108	27	0.8%
Other values (160)	2912	90.9%

Value	Count	Frequency (%)
10	19	0.6%
11	14	0.4%
12	20	0.6%
13	16	0.5%
14	26	0.8%
15	15	0.5%
16	14	0.4%
17	11	0.3%
18	17	0.5%
19	15	0.5%

Value	Count	Frequency (%)
179	18	0.6%
178	22	0.7%
177	30	0.9%
176	20	0.6%
175	18	0.6%
174	23	0.7%
173	19	0.6%
172	27	0.8%
171	16	0.5%
170	17	0.5%

handling_cost_per_unit
Real number (ℝ)

Distinct	451
Distinct (%)	14.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	2.7771161

Minimum	0.5
Maximum	5
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	25.2 KiB

Quantile statistics

Minimum	0.5
5-th percentile	0.71
Q1	1.66
median	2.81
Q3	3.91
95-th percentile	4.77
Maximum	5
Range	4.5
Interquartile range (IQR)	2.25

Descriptive statistics

Standard deviation	1.3052132
Coefficient of variation (CV)	0.4699887
Kurtosis	-1.2197597
Mean	2.7771161
Median Absolute Deviation (MAD)	1.11
Skewness	-0.042389862
Sum	8897.88
Variance	1.7035814
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
3.91	16	0.5%
1.97	16	0.5%
4.84	14	0.4%
3.66	14	0.4%
1.53	14	0.4%
4.91	14	0.4%
4.81	13	0.4%
3.79	13	0.4%
1.24	13	0.4%
1.89	13	0.4%
Other values (441)	3064	95.6%

Value	Count	Frequency (%)
0.5	6	0.2%
0.51	6	0.2%
0.52	6	0.2%
0.53	6	0.2%
0.54	11	0.3%
0.55	7	0.2%
0.56	5	0.2%
0.57	4	0.1%
0.58	3	0.1%
0.59	12	0.4%

Value	Count	Frequency (%)
5	5	0.2%
4.99	6	0.2%
4.98	3	0.1%
4.97	9	0.3%
4.96	1	< 0.1%
4.95	6	0.2%
4.94	3	0.1%
4.93	10	0.3%
4.92	4	0.1%
4.91	14	0.4%

unit_price
Real number (ℝ)

Distinct	2962
Distinct (%)	92.4%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	105.88757

Minimum	10.22
Maximum	200
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	25.2 KiB

Quantile statistics

Minimum	10.22
5-th percentile	20.349
Q1	59.76
median	106.005
Q3	152.41
95-th percentile	189.9825
Maximum	200
Range	189.78
Interquartile range (IQR)	92.65

Descriptive statistics

Standard deviation	54.428161
Coefficient of variation (CV)	0.5140184
Kurtosis	-1.1815929
Mean	105.88757
Median Absolute Deviation (MAD)	46.335
Skewness	-0.02397259
Sum	339263.79
Variance	2962.4248
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
169.66	4	0.1%
159.77	3	0.1%
130.21	3	0.1%
111.07	3	0.1%
161.78	3	0.1%
11.17	3	0.1%
147.62	3	0.1%
68.93	3	0.1%
148.19	3	0.1%
72.83	3	0.1%
Other values (2952)	3173	99.0%

Value	Count	Frequency (%)
10.22	1	< 0.1%
10.3	1	< 0.1%
10.36	1	< 0.1%
10.38	1	< 0.1%
10.58	1	< 0.1%
10.72	1	< 0.1%
10.82	3	0.1%
10.87	1	< 0.1%
10.91	1	< 0.1%
10.95	2	0.1%

Value	Count	Frequency (%)
200	1	< 0.1%
199.97	1	< 0.1%
199.92	1	< 0.1%
199.9	1	< 0.1%
199.89	1	< 0.1%
199.86	1	< 0.1%
199.83	1	< 0.1%
199.6	1	< 0.1%
199.51	1	< 0.1%
199.46	1	< 0.1%

holding_cost_per_unit_day
Real number (ℝ)

Distinct	191
Distinct (%)	6.0%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	1.0459925

Minimum	0.1
Maximum	2
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	25.2 KiB

Quantile statistics

Minimum	0.1
5-th percentile	0.19
Q1	0.58
median	1.05
Q3	1.5225
95-th percentile	1.9
Maximum	2
Range	1.9
Interquartile range (IQR)	0.9425

Descriptive statistics

Standard deviation	0.55047969
Coefficient of variation (CV)	0.52627499
Kurtosis	-1.2038743
Mean	1.0459925
Median Absolute Deviation (MAD)	0.47
Skewness	-0.0071353588
Sum	3351.36
Variance	0.30302789
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
1.34	28	0.9%
1.71	28	0.9%
0.69	25	0.8%
1.27	24	0.7%
0.76	24	0.7%
1.83	24	0.7%
1.56	24	0.7%
1.62	23	0.7%
1.75	22	0.7%
0.3	22	0.7%
Other values (181)	2960	92.4%

Value	Count	Frequency (%)
0.1	11	0.3%
0.11	15	0.5%
0.12	20	0.6%
0.13	20	0.6%
0.14	16	0.5%
0.15	19	0.6%
0.16	20	0.6%
0.17	19	0.6%
0.18	18	0.6%
0.19	18	0.6%

Value	Count	Frequency (%)
2	13	0.4%
1.99	11	0.3%
1.98	16	0.5%
1.97	15	0.5%
1.96	18	0.6%
1.95	12	0.4%
1.94	19	0.6%
1.93	21	0.7%
1.92	15	0.5%
1.91	17	0.5%

stockout_count_last_month
Real number (ℝ)

High correlation Zeros

Distinct	10
Distinct (%)	0.3%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	4.602372

Minimum	0
Maximum	9
Zeros	294
Zeros (%)	9.2%
Negative	0
Negative (%)	0.0%
Memory size	25.2 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	2
median	5
Q3	7
95-th percentile	9
Maximum	9
Range	9
Interquartile range (IQR)	5

Descriptive statistics

Standard deviation	2.8837083
Coefficient of variation (CV)	0.62657
Kurtosis	-1.2356556
Mean	4.602372
Median Absolute Deviation (MAD)	3
Skewness	-0.02542448
Sum	14746
Variance	8.3157733
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=10)

Value	Count	Frequency (%)
9	358	11.2%
6	330	10.3%
2	324	10.1%
7	323	10.1%
8	323	10.1%
3	321	10.0%
1	314	9.8%
4	311	9.7%
5	306	9.6%
0	294	9.2%

Value	Count	Frequency (%)
0	294	9.2%
1	314	9.8%
2	324	10.1%
3	321	10.0%
4	311	9.7%
5	306	9.6%
6	330	10.3%
7	323	10.1%
8	323	10.1%
9	358	11.2%

Value	Count	Frequency (%)
9	358	11.2%
8	323	10.1%
7	323	10.1%
6	330	10.3%
5	306	9.6%
4	311	9.7%
3	321	10.0%
2	324	10.1%
1	314	9.8%
0	294	9.2%

order_fulfillment_rate
Real number (ℝ)

Distinct	31
Distinct (%)	1.0%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	0.84973783

Minimum	0.7
Maximum	1
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	25.2 KiB

Quantile statistics

Minimum	0.7
5-th percentile	0.71
Q1	0.78
median	0.85
Q3	0.92
95-th percentile	0.98
Maximum	1
Range	0.3
Interquartile range (IQR)	0.14

Descriptive statistics

Standard deviation	0.086703207
Coefficient of variation (CV)	0.10203524
Kurtosis	-1.1860735
Mean	0.84973783
Median Absolute Deviation (MAD)	0.07
Skewness	0.0051372055
Sum	2722.56
Variance	0.0075174461
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=31)

Value	Count	Frequency (%)
0.92	121	3.8%
0.85	120	3.7%
0.88	120	3.7%
0.73	118	3.7%
0.79	118	3.7%
0.77	118	3.7%
0.87	113	3.5%
0.98	112	3.5%
0.78	111	3.5%
0.8	111	3.5%
Other values (21)	2042	63.7%

Value	Count	Frequency (%)
0.7	58	1.8%
0.71	107	3.3%
0.72	100	3.1%
0.73	118	3.7%
0.74	101	3.2%
0.75	106	3.3%
0.76	87	2.7%
0.77	118	3.7%
0.78	111	3.5%
0.79	118	3.7%

Value	Count	Frequency (%)
1	55	1.7%
0.99	103	3.2%
0.98	112	3.5%
0.97	108	3.4%
0.96	104	3.2%
0.95	103	3.2%
0.94	105	3.3%
0.93	107	3.3%
0.92	121	3.8%
0.91	79	2.5%

total_orders_last_month
Real number (ℝ)

Distinct	922
Distinct (%)	28.8%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	521.71473

Minimum	50
Maximum	999
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	25.2 KiB

Quantile statistics

Minimum	50
5-th percentile	96
Q1	283
median	513.5
Q3	764.25
95-th percentile	955
Maximum	999
Range	949
Interquartile range (IQR)	481.25

Descriptive statistics

Standard deviation	276.76853
Coefficient of variation (CV)	0.53049783
Kurtosis	-1.2184761
Mean	521.71473
Median Absolute Deviation (MAD)	237.5
Skewness	0.035935044
Sum	1671574
Variance	76600.82
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
812	10	0.3%
266	9	0.3%
938	9	0.3%
774	9	0.3%
90	9	0.3%
276	9	0.3%
96	9	0.3%
128	8	0.2%
695	8	0.2%
838	8	0.2%
Other values (912)	3116	97.3%

Value	Count	Frequency (%)
50	4	0.1%
51	5	0.2%
52	6	0.2%
53	1	< 0.1%
54	3	0.1%
55	5	0.2%
56	6	0.2%
57	2	0.1%
58	5	0.2%
59	1	< 0.1%

Value	Count	Frequency (%)
999	4	0.1%
998	3	0.1%
997	4	0.1%
996	5	0.2%
995	6	0.2%
994	5	0.2%
993	4	0.1%
992	4	0.1%
991	4	0.1%
990	3	0.1%

turnover_ratio
Real number (ℝ)

Distinct	1250
Distinct (%)	39.0%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	8.1236767

Minimum	1
Maximum	15
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	25.2 KiB

Quantile statistics

Minimum	1
5-th percentile	1.77
Q1	4.59
median	8.15
Q3	11.6925
95-th percentile	14.38
Maximum	15
Range	14
Interquartile range (IQR)	7.1025

Descriptive statistics

Standard deviation	4.0691912
Coefficient of variation (CV)	0.50090511
Kurtosis	-1.2171964
Mean	8.1236767
Median Absolute Deviation (MAD)	3.55
Skewness	-0.0174314
Sum	26028.26
Variance	16.558317
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
4.9	9	0.3%
7.33	9	0.3%
11.8	8	0.2%
6.42	8	0.2%
13.67	8	0.2%
3.27	8	0.2%
12.07	8	0.2%
7.97	7	0.2%
2.86	7	0.2%
5.97	7	0.2%
Other values (1240)	3125	97.5%

Value	Count	Frequency (%)
1	2	0.1%
1.01	1	< 0.1%
1.02	3	0.1%
1.03	3	0.1%
1.05	1	< 0.1%
1.06	2	0.1%
1.07	1	< 0.1%
1.08	2	0.1%
1.09	1	< 0.1%
1.1	1	< 0.1%

Value	Count	Frequency (%)
15	1	< 0.1%
14.99	1	< 0.1%
14.98	5	0.2%
14.97	1	< 0.1%
14.96	4	0.1%
14.95	2	0.1%
14.94	3	0.1%
14.93	3	0.1%
14.92	3	0.1%
14.91	2	0.1%

layout_efficiency_score
Real number (ℝ)

Distinct	81
Distinct (%)	2.5%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	0.60058052

Minimum	0.2
Maximum	1
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	25.2 KiB

Quantile statistics

Minimum	0.2
5-th percentile	0.24
Q1	0.4
median	0.6
Q3	0.8
95-th percentile	0.96
Maximum	1
Range	0.8
Interquartile range (IQR)	0.4

Descriptive statistics

Standard deviation	0.23051079
Coefficient of variation (CV)	0.38381329
Kurtosis	-1.1911169
Mean	0.60058052
Median Absolute Deviation (MAD)	0.2
Skewness	-0.012368995
Sum	1924.26
Variance	0.053135223
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
0.83	54	1.7%
0.65	53	1.7%
0.27	51	1.6%
0.26	49	1.5%
0.75	49	1.5%
0.57	49	1.5%
0.41	49	1.5%
0.46	48	1.5%
0.61	46	1.4%
0.79	46	1.4%
Other values (71)	2710	84.6%

Value	Count	Frequency (%)
0.2	19	0.6%
0.21	41	1.3%
0.22	44	1.4%
0.23	24	0.7%
0.24	40	1.2%
0.25	42	1.3%
0.26	49	1.5%
0.27	51	1.6%
0.28	40	1.2%
0.29	44	1.4%

Value	Count	Frequency (%)
1	21	0.7%
0.99	44	1.4%
0.98	36	1.1%
0.97	39	1.2%
0.96	39	1.2%
0.95	38	1.2%
0.94	44	1.4%
0.93	37	1.2%
0.92	36	1.1%
0.91	31	1.0%

last_restock_date
Date

Distinct	364
Distinct (%)	11.4%
Missing	0
Missing (%)	0.0%
Memory size	25.2 KiB

Minimum	2024-01-01 00:00:00
Maximum	2024-12-30 00:00:00
Invalid dates	0
Invalid dates (%)	0.0%

Histogram with fixed size bins (bins=50)

forecasted_demand_next_7d
Real number (ℝ)

Distinct	3009
Distinct (%)	93.9%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	154.28625

Minimum	10.09
Maximum	299.94
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	25.2 KiB

Quantile statistics

Minimum	10.09
5-th percentile	24.9615
Q1	83.19
median	152.87
Q3	225.44
95-th percentile	284.2115
Maximum	299.94
Range	289.85
Interquartile range (IQR)	142.25

Descriptive statistics

Standard deviation	82.945255
Coefficient of variation (CV)	0.53760628
Kurtosis	-1.1864876
Mean	154.28625
Median Absolute Deviation (MAD)	71.15
Skewness	0.01121432
Sum	494333.13
Variance	6879.9153
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
36.35	3	0.1%
79.88	3	0.1%
97.22	3	0.1%
131.2	3	0.1%
292.14	3	0.1%
19.97	3	0.1%
170.06	3	0.1%
137.39	3	0.1%
96.58	2	0.1%
291.39	2	0.1%
Other values (2999)	3176	99.1%

Value	Count	Frequency (%)
10.09	1	< 0.1%
10.15	1	< 0.1%
10.21	2	0.1%
10.29	1	< 0.1%
10.33	1	< 0.1%
10.78	1	< 0.1%
10.8	1	< 0.1%
10.93	1	< 0.1%
10.98	1	< 0.1%
11.02	1	< 0.1%

Value	Count	Frequency (%)
299.94	1	< 0.1%
299.86	1	< 0.1%
299.73	1	< 0.1%
299.68	1	< 0.1%
299.66	1	< 0.1%
299.58	1	< 0.1%
299.51	1	< 0.1%
299.19	1	< 0.1%
299.07	1	< 0.1%
299.02	1	< 0.1%

KPI_score
Real number (ℝ)

High correlation

Distinct	519
Distinct (%)	16.2%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	0.60173658

Minimum	0.259
Maximum	0.936
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	25.2 KiB

Quantile statistics

Minimum	0.259
5-th percentile	0.425
Q1	0.527
median	0.601
Q3	0.67725
95-th percentile	0.77985
Maximum	0.936
Range	0.677
Interquartile range (IQR)	0.15025

Descriptive statistics

Standard deviation	0.10828597
Coefficient of variation (CV)	0.17995577
Kurtosis	-0.24668936
Mean	0.60173658
Median Absolute Deviation (MAD)	0.075
Skewness	-0.018617004
Sum	1927.964
Variance	0.011725851
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
0.593	19	0.6%
0.668	19	0.6%
0.644	18	0.6%
0.577	17	0.5%
0.601	17	0.5%
0.603	17	0.5%
0.605	17	0.5%
0.64	16	0.5%
0.581	16	0.5%
0.535	16	0.5%
Other values (509)	3032	94.6%

Value	Count	Frequency (%)
0.259	1	< 0.1%
0.265	1	< 0.1%
0.273	1	< 0.1%
0.279	1	< 0.1%
0.302	1	< 0.1%
0.307	1	< 0.1%
0.308	1	< 0.1%
0.318	1	< 0.1%
0.319	1	< 0.1%
0.32	3	0.1%

Value	Count	Frequency (%)
0.936	1	< 0.1%
0.924	1	< 0.1%
0.895	2	0.1%
0.892	1	< 0.1%
0.885	1	< 0.1%
0.883	1	< 0.1%
0.878	1	< 0.1%
0.874	2	0.1%
0.871	1	< 0.1%
0.869	1	< 0.1%

Interactions

Correlations

	KPI_score	category	daily_demand	demand_std_dev	forecasted_demand_next_7d	handling_cost_per_unit	holding_cost_per_unit_day	item_popularity_score	layout_efficiency_score	lead_time_days	order_fulfillment_rate	picking_time_seconds	reorder_frequency_days	reorder_point	stock_level	stockout_count_last_month	total_orders_last_month	turnover_ratio	unit_price	zone
KPI_score	1.000	0.000	-0.005	0.032	0.015	0.003	-0.496	-0.030	0.418	0.024	0.139	0.017	0.007	-0.028	0.011	-0.533	-0.011	0.491	-0.007	0.016
category	0.000	1.000	0.000	0.000	0.003	0.013	0.033	0.015	0.000	0.000	0.000	0.000	0.000	0.017	0.000	0.000	0.020	0.000	0.000	0.030
daily_demand	-0.005	0.000	1.000	-0.005	-0.027	0.004	0.015	0.003	0.013	-0.004	-0.019	0.001	0.026	-0.014	-0.019	0.002	0.007	0.000	-0.015	0.021
demand_std_dev	0.032	0.000	-0.005	1.000	-0.014	-0.024	-0.021	0.001	0.000	-0.009	0.006	0.033	0.018	0.017	-0.012	-0.026	-0.031	0.005	0.014	0.000
forecasted_demand_next_7d	0.015	0.003	-0.027	-0.014	1.000	0.002	0.020	-0.016	-0.000	0.000	0.013	-0.017	0.033	-0.012	0.012	-0.022	0.015	0.018	-0.012	0.002
handling_cost_per_unit	0.003	0.013	0.004	-0.024	0.002	1.000	-0.006	-0.036	-0.017	0.012	0.005	0.008	-0.018	0.004	0.037	0.012	-0.004	0.015	-0.006	0.000
holding_cost_per_unit_day	-0.496	0.033	0.015	-0.021	0.020	-0.006	1.000	0.028	0.005	-0.041	-0.008	-0.017	0.013	0.002	-0.006	-0.014	0.007	-0.006	-0.007	0.000
item_popularity_score	-0.030	0.015	0.003	0.001	-0.016	-0.036	0.028	1.000	-0.009	-0.019	-0.003	0.008	0.004	0.025	0.004	-0.000	-0.013	-0.021	-0.004	0.000
layout_efficiency_score	0.418	0.000	0.013	0.000	-0.000	-0.017	0.005	-0.009	1.000	0.010	-0.024	0.004	0.022	-0.009	-0.002	-0.033	-0.014	-0.013	0.007	0.000
lead_time_days	0.024	0.000	-0.004	-0.009	0.000	0.012	-0.041	-0.019	0.010	1.000	0.008	-0.010	0.015	-0.004	-0.006	-0.015	0.035	-0.017	-0.023	0.000
order_fulfillment_rate	0.139	0.000	-0.019	0.006	0.013	0.005	-0.008	-0.003	-0.024	0.008	1.000	0.024	0.012	0.023	0.009	0.002	0.016	-0.011	-0.007	0.000
picking_time_seconds	0.017	0.000	0.001	0.033	-0.017	0.008	-0.017	0.008	0.004	-0.010	0.024	1.000	-0.008	-0.016	-0.030	0.008	-0.009	0.008	-0.029	0.000
reorder_frequency_days	0.007	0.000	0.026	0.018	0.033	-0.018	0.013	0.004	0.022	0.015	0.012	-0.008	1.000	-0.001	-0.025	-0.002	-0.021	-0.004	-0.004	0.010
reorder_point	-0.028	0.017	-0.014	0.017	-0.012	0.004	0.002	0.025	-0.009	-0.004	0.023	-0.016	-0.001	1.000	-0.038	0.029	-0.006	-0.023	0.008	0.033
stock_level	0.011	0.000	-0.019	-0.012	0.012	0.037	-0.006	0.004	-0.002	-0.006	0.009	-0.030	-0.025	-0.038	1.000	0.001	0.012	0.012	0.008	0.000
stockout_count_last_month	-0.533	0.000	0.002	-0.026	-0.022	0.012	-0.014	-0.000	-0.033	-0.015	0.002	0.008	-0.002	0.029	0.001	1.000	0.011	-0.003	0.021	0.027
total_orders_last_month	-0.011	0.020	0.007	-0.031	0.015	-0.004	0.007	-0.013	-0.014	0.035	0.016	-0.009	-0.021	-0.006	0.012	0.011	1.000	0.009	-0.020	0.020
turnover_ratio	0.491	0.000	0.000	0.005	0.018	0.015	-0.006	-0.021	-0.013	-0.017	-0.011	0.008	-0.004	-0.023	0.012	-0.003	0.009	1.000	0.006	0.000
unit_price	-0.007	0.000	-0.015	0.014	-0.012	-0.006	-0.007	-0.004	0.007	-0.023	-0.007	-0.029	-0.004	0.008	0.008	0.021	-0.020	0.006	1.000	0.035
zone	0.016	0.030	0.021	0.000	0.002	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.010	0.033	0.000	0.027	0.020	0.000	0.035	1.000

Missing values

A simple visualization of nullity by column.

Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.

Sample

	item_id	category	stock_level	reorder_point	reorder_frequency_days	lead_time_days	daily_demand	demand_std_dev	item_popularity_score	storage_location_id	zone	picking_time_seconds	handling_cost_per_unit	unit_price	holding_cost_per_unit_day	stockout_count_last_month	order_fulfillment_rate	total_orders_last_month	turnover_ratio	layout_efficiency_score	last_restock_date	forecasted_demand_next_7d	KPI_score
0	ITM10000	Pharma	283	21	4	4	49.85	1.56	0.43	L82	B	106	3.61	117.80	1.14	0	0.80	700	3.33	0.33	2024-02-17	184.37	0.556
1	ITM10001	Automotive	301	52	9	6	23.34	2.55	0.69	L15	A	45	3.54	178.80	1.09	3	0.79	736	10.36	0.98	2024-10-01	221.94	0.723
2	ITM10002	Groceries	132	60	11	8	37.69	3.15	0.62	L4	B	177	0.52	54.05	0.95	7	0.75	814	14.32	0.87	2024-04-07	53.85	0.680
3	ITM10003	Automotive	346	46	13	5	33.69	2.79	0.21	L95	A	39	2.64	31.10	1.90	0	0.96	994	2.08	0.29	2024-01-27	92.04	0.488
4	ITM10004	Automotive	49	55	4	6	49.58	5.23	0.31	L36	D	35	1.40	104.97	0.63	5	0.83	299	5.65	0.96	2024-05-17	194.58	0.670
5	ITM10005	Apparel	154	62	9	6	35.95	9.47	0.41	L32	A	94	1.96	164.12	0.66	1	0.99	477	7.61	0.95	2024-07-12	180.65	0.803
6	ITM10006	Groceries	86	97	6	4	9.04	4.72	0.28	L29	C	110	4.90	134.38	0.37	8	0.88	418	4.25	0.45	2024-12-10	223.69	0.526
7	ITM10007	Groceries	84	89	13	4	47.82	6.78	0.24	L18	D	130	0.88	131.09	1.42	7	0.74	958	11.37	0.70	2024-11-05	195.75	0.558
8	ITM10008	Groceries	311	22	4	9	33.72	7.04	0.15	L95	D	40	3.75	13.32	0.71	8	0.86	697	10.64	0.29	2024-11-04	105.74	0.541
9	ITM10009	Automotive	44	98	9	8	3.91	8.78	0.89	L14	A	26	1.28	70.32	1.63	8	1.00	496	2.65	0.27	2024-01-21	154.78	0.366

	item_id	category	stock_level	reorder_point	reorder_frequency_days	lead_time_days	daily_demand	demand_std_dev	item_popularity_score	storage_location_id	zone	picking_time_seconds	handling_cost_per_unit	unit_price	holding_cost_per_unit_day	stockout_count_last_month	order_fulfillment_rate	total_orders_last_month	turnover_ratio	layout_efficiency_score	last_restock_date	forecasted_demand_next_7d	KPI_score
3194	ITM13194	Apparel	395	32	9	4	25.68	2.13	0.55	L18	B	179	1.17	122.04	0.33	2	0.79	681	9.02	0.35	2024-12-13	93.86	0.675
3195	ITM13195	Automotive	282	92	4	5	10.32	8.38	0.93	L50	D	100	4.80	27.13	1.86	1	0.94	286	13.20	0.84	2024-11-06	203.98	0.726
3196	ITM13196	Pharma	286	48	5	2	43.94	5.74	0.32	L32	B	146	3.26	63.60	0.50	8	0.76	797	14.82	0.30	2024-04-11	69.61	0.600
3197	ITM13197	Apparel	378	97	9	3	29.04	9.85	0.84	L33	B	132	3.78	171.44	0.26	5	0.87	866	9.18	0.74	2024-10-22	30.09	0.718
3198	ITM13198	Electronics	336	89	9	6	10.41	7.33	0.38	L27	C	13	4.55	12.10	1.13	7	0.76	492	3.18	0.64	2024-10-21	177.98	0.469
3199	ITM13199	Groceries	343	21	12	2	39.88	1.30	0.34	L43	C	99	4.34	24.63	1.50	3	0.79	87	11.80	0.20	2024-11-28	237.04	0.545
3200	ITM13200	Electronics	428	43	5	7	2.68	4.25	0.91	L83	B	105	1.48	79.04	1.46	4	0.77	833	14.96	0.39	2024-11-28	34.00	0.605
3201	ITM13201	Groceries	415	80	14	5	49.15	5.41	0.14	L11	D	38	0.76	199.89	1.11	9	0.89	937	7.63	0.60	2024-10-02	62.57	0.509
3202	ITM13202	Groceries	173	84	3	9	43.39	8.47	0.69	L58	B	95	4.66	65.45	1.04	4	0.86	905	6.37	0.46	2024-03-30	36.96	0.565
3203	ITM13203	Apparel	377	40	14	3	29.40	7.43	0.14	L48	A	56	4.92	39.88	1.94	9	0.92	812	8.74	0.54	2024-05-25	193.91	0.435

Overview

Variables

Most occurring characters

Most occurring categories

Most frequent character per category

(unknown)

Most occurring scripts

Most frequent character per script

(unknown)

Most occurring blocks

Most frequent character per block

(unknown)

Common Values

Length

Common Values (Plot)

Most occurring characters

Most occurring categories

Most frequent character per category

(unknown)

Most occurring scripts

Most frequent character per script

(unknown)

Most occurring blocks

Most frequent character per block

(unknown)

Most occurring characters

Most occurring categories

Most frequent character per category

(unknown)

Most occurring scripts

Most frequent character per script

(unknown)

Most occurring blocks

Most frequent character per block

(unknown)

Common Values

Length

Common Values (Plot)

Most occurring characters

Most occurring categories

Most frequent character per category

(unknown)

Most occurring scripts

Most frequent character per script

(unknown)

Most occurring blocks

Most frequent character per block

(unknown)

Interactions

Correlations

Missing values

Sample